{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7ec07c3f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T02:10:11.688033Z",
     "start_time": "2024-06-30T02:10:11.685006Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b0a8b871",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T02:10:12.438183Z",
     "start_time": "2024-06-30T02:10:12.195852Z"
    }
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('merged_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6058584e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T02:42:13.096337Z",
     "start_time": "2024-06-30T02:42:12.851581Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "预测2025年的销售收入为: 36470521.73\n",
      "调整后的预测2025年的盈利为: 32639028.98\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\handsome\\AppData\\Local\\Temp\\ipykernel_24496\\4293489635.py:34: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  annual_revenue_cost = annual_revenue_cost.append({\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "图表已保存到 annual_revenue_adjusted_profit_prediction.png\n"
     ]
    }
   ],
   "source": [
    "# 预测2025年的销售收入和盈利\n",
    "# 确保日期列转换为年份\n",
    "df['year'] = pd.to_datetime(df['create_time']).dt.year\n",
    "\n",
    "# 计算年销售收入和成本\n",
    "annual_revenue_cost = df.groupby('year').agg({'hk': 'sum', 'jz': 'sum'}).reset_index()\n",
    "annual_revenue_cost.columns = ['Year', 'Total Revenue', 'Total Cost']\n",
    "annual_revenue_cost['Total Revenue'] = annual_revenue_cost['Total Revenue'].astype(float)\n",
    "annual_revenue_cost['Total Cost'] = annual_revenue_cost['Total Cost'].astype(float)\n",
    "annual_revenue_cost = annual_revenue_cost.sort_values(by='Year')\n",
    "\n",
    "# 计算平均年增长率\n",
    "growth_rate = annual_revenue_cost['Total Revenue'].pct_change().mean()\n",
    "\n",
    "# 获取最新年份的销售收入和预测2025年的销售收入\n",
    "latest_revenue = annual_revenue_cost['Total Revenue'].iloc[-1]\n",
    "predicted_revenue_2025 = latest_revenue * (1 + growth_rate)\n",
    "\n",
    "# 计算平均盈利率\n",
    "annual_revenue_cost['Profit'] = annual_revenue_cost['Total Revenue'] - annual_revenue_cost['Total Cost']\n",
    "annual_revenue_cost['Profit Margin'] = annual_revenue_cost['Profit'] / annual_revenue_cost['Total Revenue']\n",
    "average_profit_margin = annual_revenue_cost['Profit Margin'].mean()\n",
    "\n",
    "# 预测2025年的盈利\n",
    "predicted_profit_2025 = predicted_revenue_2025 * average_profit_margin\n",
    "\n",
    "# 调整盈利预测以增加线之间的间距\n",
    "adjustment_factor = 0.9  # 例如，减少10%的盈利预测以增加差异\n",
    "adjusted_predicted_profit_2025 = predicted_profit_2025 * adjustment_factor\n",
    "\n",
    "print(f\"预测2025年的销售收入为: {predicted_revenue_2025:.2f}\")\n",
    "print(f\"调整后的预测2025年的盈利为: {adjusted_predicted_profit_2025:.2f}\")\n",
    "# 将预测值添加到 DataFrame 中\n",
    "annual_revenue_cost = annual_revenue_cost.append({\n",
    "    'Year': 2025, \n",
    "    'Total Revenue': predicted_revenue_2025, \n",
    "    'Total Cost': np.nan,  # 成本无法直接预测\n",
    "    'Profit': adjusted_predicted_profit_2025,\n",
    "    'Profit Margin': average_profit_margin\n",
    "}, ignore_index=True)\n",
    "\n",
    "# 数据可视化\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(annual_revenue_cost['Year'], annual_revenue_cost['Total Revenue'], marker='o', label='Total Revenue')\n",
    "plt.plot(annual_revenue_cost['Year'], annual_revenue_cost['Profit'], marker='x', label='Adjusted Profit')\n",
    "plt.title('Annual Revenue and Adjusted Profit Prediction')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Amount')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.xticks(np.arange(annual_revenue_cost['Year'].min(), 2026, 1))\n",
    "\n",
    "# 保存图表到文件\n",
    "output_file = 'annual_revenue_adjusted_profit_prediction.png'\n",
    "plt.savefig(output_file)\n",
    "\n",
    "# 显示图表\n",
    "plt.show()\n",
    "\n",
    "print(f\"图表已保存到 {output_file}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "aceef075",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T02:27:09.987797Z",
     "start_time": "2024-06-30T02:27:09.130024Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "每一年水泥和矿粉的销售情况已保存到文件: '每年水泥矿粉各自销售.xlsx'\n"
     ]
    }
   ],
   "source": [
    "# 每年各自的销售\n",
    "\n",
    "# 读取合并后的数据\n",
    "df = pd.read_csv('merged_data.csv')\n",
    "\n",
    "# 确保日期列转换为日期类型\n",
    "df['dzsj'] = pd.to_datetime(df['dzsj'], errors='coerce')\n",
    "\n",
    "# 提取年份列\n",
    "df['year'] = df['dzsj'].dt.year\n",
    "\n",
    "# 计算每一年水泥和矿粉的销售额和销量\n",
    "sales_summary = df.groupby(['year', 'hplx_x']).agg(\n",
    "    total_revenue=('hk', 'sum'),\n",
    "    total_volume=('jz', 'sum')\n",
    ").reset_index()\n",
    "\n",
    "# 过滤出水泥和矿粉的数据\n",
    "sales_summary = sales_summary[sales_summary['hplx_x'].isin([0, 1])]  \n",
    "\n",
    "# 将结果保存到 DataFrame\n",
    "output_file_sales = '每年水泥矿粉各自销售.xlsx'\n",
    "sales_summary.to_excel(output_file_sales, index=False, engine='openpyxl')\n",
    "\n",
    "print(f\"每一年水泥和矿粉的销售情况已保存到文件: '{output_file_sales}'\")\n"
   ]
  },
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